Residuals against fitted values with a zero reference line and a loess
trend, the first plot to look at when checking a linear model.
geom_residual(
mapping = NULL,
data = NULL,
color = NULL,
smooth = TRUE,
size = NULL,
alpha = NULL
)
Arguments
- mapping, data
Standard layer overrides. Map fitted values to x
and residuals to y.
- color
Point color.
- smooth
Overlay a loess trend through the residuals.
- size
Point radius.
- alpha
Point opacity.
Value
A Layer to add with +.
Examples
m <- lm(dist ~ speed, cars)
d <- data.frame(fitted = fitted(m), resid = resid(m))
ggnext(d, aes(fitted, resid)) + geom_residual()
#> <ggnext plot>
#> data: 50 x 2
#> aes: x = fitted, y = resid
#> layers: 1
#> coord: cartesian
#> mode: static